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Offered By: IBMSkillsNetwork

Monitor Water Levels and Soil Moisture with Geospatial APIs

Visualize water levels, track vegetation health, and make better decisions for farming, urban planning, and environmental conservation using geospatial APIs. Learn to detect changes in water bodies and soil moisture, using Python to analyze satellite imagery, uncover patterns, and derive actionable insights from geospatial data.

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Guided Project

Data Science

53 Enrolled
4.4
(8 Reviews)

At a Glance

Visualize water levels, track vegetation health, and make better decisions for farming, urban planning, and environmental conservation using geospatial APIs. Learn to detect changes in water bodies and soil moisture, using Python to analyze satellite imagery, uncover patterns, and derive actionable insights from geospatial data.

In this guided project, you’ll explore how to monitor water and moisture levels with the help of geospatial APIs. These APIs provide access to rich satellite imagery and temporal data, along with a powerful analytics engine for running queries and uncovering relationships between environmental factors.

Using Python, you will analyze water bodies and vegetation moisture with two key indices—Normalized Difference Moisture Index (NDMI) and Modified Normalized Difference Water Index (mNDWI). These indices help you to:
  • Monitor drought stress in crops and adjust irrigation to save water.
  • Track seasonal water level changes in rivers and reservoirs to prepare for floods or shortages.
  • Predict dry spells before they impact farming or natural ecosystems.
  • Plan sustainable urban growth by monitoring the health of wetlands and water bodies.
This project focuses on analyzing the farmland and water bodies near the Lake of Sainte-Croix in France to track changes between March and June 2023. You’ll see how seasonal rainfall affects vegetation and water levels, providing valuable insights for agriculture and environmental management.

Note: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.



What you'll learn

When you complete this project, you will have gained hands-on experience in:
  • Visualizing water and moisture trends using Python and satellite data.
  • Making data-driven decisions for irrigation, water management, and conservation efforts.
  • Applying user-defined functions (UDFs) to simplify complex geospatial queries.

This project highlights the importance of geospatial insights for sustainable agriculture and environmental resilience. Register to learn how technology and data can empower smarter planning and sustainable land management.


What you'll need

To successfully complete this guided project, you will need:
  • Basic knowledge of Python programming.
  • Access to the IBM Skills Network Labs environment, which comes pre-installed with necessary tools such as Docker.
  • A current version of a web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari for the best experience.

Estimated Effort

30 Minutes

Level

Beginner

Skills You Will Learn

API, Data Visualization, Environmental Intelligence, Geospatial, Python

Language

English

Course Code

GPXX0VPBEN

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